Campus Units
Economics, Electrical and Computer Engineering, Mathematics
Document Type
Conference Proceeding
Conference
2010 IEEE Power and Energy Society General Meeting
Publication Version
Submitted Manuscript
Link to Published Version
http://dx.doi.org/10.1109/PES.2010.5588174
Publication Date
2010
Journal or Book Title
Proceedings of the IEEE Power and Energy Society General Meeting
DOI
10.1109/PES.2010.5588174
Conference Title
2010 IEEE Power and Energy Society General Meeting
Conference Date
July 25-29, 2010
City
Minneapolis, MN
Abstract
Abstract: Short-term prediction of system variables with respect to load levels is highly important for market operations and demand response programs in wholesale power markets with congestion managed by locational marginal prices (LMPs). Previous studies have conducted local sensitivity analyses for LMPs at specific system operating points. This study undertakes a more global analysis of system variable sensitivities when LMPs are derived from DC optimal power flow solutions for day-ahead energy markets. The possible system states are first partitioned into subsets (“system patterns”) based on relatively slow-changing attributes. It is next established analytically that there is a fixed linear-affine mapping between bus load patterns and corresponding system variables, conditional on a particular system pattern. It is then explained how this global piecewise linear-affine mapping can be used to predict system patterns corresponding to forecasted load patterns, hence also dispatch levels, LMPs, and line flows. A 5-bus case study is used to illustrate the accuracy of the proposed prediction method.
Copyright Owner
IEEE
Copyright Date
2010
Language
en
File Format
application/pdf
Recommended Citation
Zhou, Qun; Tesfatsion, Leigh; and Liu, Chen-Ching, "Global sensitivity analysis for the short-term prediction of system variables" (2010). Economics Presentations, Posters and Proceedings. 29.
https://lib.dr.iastate.edu/econ_las_conf/29
Included in
Growth and Development Commons, Industrial Organization Commons, Other Electrical and Computer Engineering Commons
Comments
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI: 10.1109/PES.2010.5588174